This one-two punch in flexibility and scalability equals knockout performance. It's also horizontally scalable -another massive plus. This is why MongoDB Atlas scores an Editors' Choice in our DBaaS solutions review roundup.ĭynamic schema means you can change the schema without modifying your data, which is huge in terms of flexibility. Add to that sharding, serverless and machine learning (ML), and you have one great database with few drawbacks. It's an alternative to table databases, meaning MongoDB Atlas uses JavaScript Object Notation (JSON)-like documents with dynamic schemas instead, which MongoDB calls Binary JSON (BSON). MongoDB Atlas, which is free for 512 megabytes (MB) of storage, is MongoDB's Database-as-a-Service (DBaaS) offering, so yes, it's a cloud-based, open-source, NoSQL database. Some applications require SQL databases to function, which eliminates NoSQL databases from consideration.It's NoSQL, which is generally unsuitable for complex queries.How to Set Up Two-Factor Authentication.How to Record the Screen on Your Windows PC or Mac.How to Convert YouTube Videos to MP3 Files.How to Save Money on Your Cell Phone Bill.How to Free Up Space on Your iPhone or iPad.How to Block Robotexts and Spam Messages.There's no question that Atlas is a popular option for developers. Atlas now accounts for more than half of MongoDB's total revenue. Lowering the cost of entryĪtlas has become MongoDB's main growth engine, with sales from the database-as-a-service soaring 73% in the company's first quarter. With serverless Atlas, MongoDB now competes more directly with other usage-based cloud database services. Firestore from Alphabet's Google Cloud, for example, is fully serverless and charges for reads, writes, storage, and bandwidth in the same way. This is similar to how other cloud-based database services work. Customers pay a fixed rate for each document read and document write, as well as rates for storage and data transfer. Atlas takes it from there, dynamically scaling up and down resources as needed. The only decision a developer needs to make with serverless Atlas is which cloud provider and cloud region to use. Serverless Atlas is still in preview, but it provides developers a way to pay for actual usage and not have to worry about deciding on specs. During off-times, your database will sit largely idle.Įarlier this month, MongoDB introduced a third flavor of Atlas that aims to alleviate the downsides of the dedicated Atlas plans. If your app has periodic spikes in usage, you need a database powerful enough to handle those spikes. You remove the need to manage servers with Atlas, but you still need to manage the database itself. The amount of compute power, memory, and storage all need to be chosen, and those decisions affect the cost of your dedicated Atlas cluster. It may be difficult to predict how powerful a database you'll need for an application, and the requirements may change over time. Second, there are a lot of decisions that need to be made regarding compute power and capacity. First, the lowest-cost dedicated plan starts a $57 per month, many times more than it would cost to simply install and run a database on a dedicated virtual server. This solves the main issue with the shared version, but there are still two sticking points. For a production app with thousands of users, this low-cost version of Atlas isn't ideal.ĭedicated Atlas provides each customer with their own hardware to run their database, along with other advanced features not available in the shared version. This means that the usage patterns of other applications can affect your own application. The low-end shared version of Atlas runs on hardware that's shared with other customers. Until recently, Atlas came in two flavors.
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